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Machine Translation
Linguistic characteristics of MT systems and general methodology of evaluation
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and
Language:
English
Published/Copyright:
1988
About this book
The use of the computer in translating natural languages ranges from that of a translator's aid for word processing and dictionary lookup to that of a full-fledged translator on its own. However the obstacles to translating by means of the computer are primarily linguistic. To overcome them it is necessary to resolve the ambiguities that pervade a natural language when words and sentences are viewed in isolation. The problem then is to formalize, in the computer, these aspects of natural language understanding. The authors show how, from a linguistic point of view, one may form some idea of what goes on inside a system's black box, given only the input (original text) and the raw output (translated text before post-editing). Many examples of English/French translation are used to illustrate the principles involved.
Reviews
Claude Bedard, in Language Technology 9.:
All in all, Bourbeau and Lehrberger have done a good didactic job in describing the intricacies of machine translation and demonstrating how multifaceted and complex its evaluation is. And any potential user will learn a lot in terms of both wisdom and wariness from it.
All in all, Bourbeau and Lehrberger have done a good didactic job in describing the intricacies of machine translation and demonstrating how multifaceted and complex its evaluation is. And any potential user will learn a lot in terms of both wisdom and wariness from it.
Topics
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Prelim pages
i -
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Table of contents
v -
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Acknowledgements
ix -
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Preface
xi -
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Introduction
1 -
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Identification of system characteristics
5 -
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Linguistic components of a system
56 -
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Building a system
128 -
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Linguistic evaluation by the user
132 -
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Conclusion
191 -
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Notes
194 -
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Appendix A: A Synthesis of Evaluations of MT Systems
196 -
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Appendix V: An Example of a fully automatic MT chain
223 -
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Bibliography
229
Publishing information
Pages and Images/Illustrations in book
eBook published on:
March 18, 2011
eBook ISBN:
9789027286208
Pages and Images/Illustrations in book
Main content:
240
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eBook ISBN:
9789027286208
Audience(s) for this book
Professional and scholarly;